Derong Liu & Frank L. Lewis 
Reinforcement Learning and Approximate Dynamic Programming for Feedback Control [PDF ebook] 

Ủng hộ

Reinforcement learning (RL) and adaptive dynamic programming (ADP) has been one of the most critical research fields in science and engineering for modern complex systems. This book describes the latest RL and ADP techniques for decision and control in human engineered systems, covering both single player decision and control and multi-player games. Edited by the pioneers of RL and ADP research, the book brings together ideas and methods from many fields and provides an important and timely guidance on controlling a wide variety of systems, such as robots, industrial processes, and economic decision-making.

€141.99
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Giới thiệu về tác giả

Dr. Frank Lewis is a Professor of Electrical Engineering at The University of Texas at Arlington, where he was awarded the Moncrief-O’Donnell Endowed Chair in 1990 at the Automation & Robotics Research Institute. He has served as Visiting Professor at Democritus University in Greece, Hong Kong University of Science and Technology, Chinese University of Hong Kong, City University of Hong Kong, National University of Singapore, Nanyang Technological University Singapore. Elected Guest Consulting Professor at Shanghai Jiao Tong University and South China University of Technology.
Derong Liu received the B.S. degree in mechanical engineering from the East China Institute of Technology (now Nanjing University of Science and Technology), Nanjing, China, in 1982, the M.S. degree in automatic control theory and applications from the Institute of Automation, Chinese Academy of Sciences, Beijing, China, in 1987, and the Ph.D. degree in electrical engineering from the University of Notre Dame, Notre Dame, IN, in 1994.

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Ngôn ngữ Anh ● định dạng PDF ● Trang 648 ● ISBN 9781118453933 ● Kích thước tập tin 13.8 MB ● Biên tập viên Derong Liu & Frank L. Lewis ● Nhà xuất bản John Wiley & Sons ● Được phát hành 2013 ● Phiên bản 1 ● Có thể tải xuống 24 tháng ● Tiền tệ EUR ● TÔI 2619060 ● Sao chép bảo vệ Adobe DRM
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